• DocumentCode
    710075
  • Title

    Audio indexing for YouTube

  • Author

    Al Laham, Mohamad Nour ; Ayass, Imad ; Ghareeb, Majd ; El-Bazzal, Zouhair ; Raad, Mohamad

  • Author_Institution
    Dept. of Comput. & Commun. Eng., Lebanese Int. Univ., Beirut, Lebanon
  • fYear
    2015
  • fDate
    April 29 2015-May 1 2015
  • Firstpage
    111
  • Lastpage
    114
  • Abstract
    The internet is often compared to a sea of information, and searching on the internet is like throwing a net on the surface of the ocean, the search will only include results from the surface of the ocean leaving the depth untouched, naming it the deep web. The deep web includes, among other things, the un-indexed audio contents present today, where the search is based on descriptors accompanying the file rather than the file´ contents. This paper introduces an efficient way for searching audio content. The focus is on using YouTube content.
  • Keywords
    Internet; social networking (online); Internet; YouTube content; audio indexing; file content; ocean surface; unindexed audio contents; Decision support systems; Indexing; Internet; Sea surface; YouTube; Audio Indexing; Deep Web; Search Engine; Transcription;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Information and Communication Technology and its Applications (DICTAP), 2015 Fifth International Conference on
  • Conference_Location
    Beirut
  • Print_ISBN
    978-1-4799-4130-8
  • Type

    conf

  • DOI
    10.1109/DICTAP.2015.7113181
  • Filename
    7113181